# A tibble: 1,384,617 x 15
order_id product_id add_to_cart_order reordered user_id eval_set order_number
<int> <int> <int> <int> <int> <chr> <int>
1 1 49302 1 1 112108 train 4
2 1 11109 2 1 112108 train 4
3 1 10246 3 0 112108 train 4
4 1 49683 4 0 112108 train 4
5 1 43633 5 1 112108 train 4
6 1 13176 6 0 112108 train 4
7 1 47209 7 0 112108 train 4
8 1 22035 8 1 112108 train 4
9 36 39612 1 0 79431 train 23
10 36 19660 2 1 79431 train 23
# ... with 1,384,607 more rows, and 8 more variables: order_dow <int>,
# order_hour_of_day <int>, days_since_prior_order <int>, product_name <chr>,
# aisle_id <int>, department_id <int>, aisle <chr>, department <chr>